Demographic Fairness in Biometric Systems
What Do the Experts Say
Bibliographic Data
| ID | 20362131 |
|---|---|
| Authors | Christian Rathgeb (0000-0003-1901-9468, Hochschule Darmstadt, Darmstadt, Germany), Pawel Drozdowski (0000-0003-4758-339X, Hochschule Darmstadt, Darmstadt, Germany), Dinusha C Frings (European Association for Biometrics, Bussum, AT, The Netherlands), Naser Damer (0000-0001-7910-7895, Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany), Christoph Busch (0000-0002-9159-2923, Hochschule Darmstadt, Darmstadt, Germany) |
| Year | 2022 |
| Volume | 41 |
| Issue | 4 |
| Pages | 71-82 |
| Publication date | 2022-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Technology and Society Magazine (JOURNAL) |
| Journal identifiers | ISSN: 0278-0097 • E-ISSN: 1937-416X |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/mts.2022.3217700 |
| OpenAlex | W3167558134 |
| Language | EN |
| References cited | 30 |
Biometric technologies [1] have become an integral component of many personal, commercial, and governmental identity management systems worldwide. Biometrics rely on highly distinctive characteristics of human beings, which make it possible for individuals to be reliably recognized using fully automated algorithms. Prominent examples of biometric characteristics used for recognition purposes are face, fingerprint, iris, and voice. Application scenarios of biometrics beyond personal devices (see [2] ) include, but are not limited to, border control (see [3] , [4] , and [5] ), forensic investigations, law enforcement (see [6] and [7] ), and national ID systems (see [8] )
Algorithm · Biometrics · Biometric Identification and Security · Computer Science · Mathematics · Privacy, Security, and Data Protection · User Authentication and Security Systems · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |